Abortion by Financial Plam

Financial Plans

Get the data

url = "https://www.health.ny.gov/statistics/vital_statistics/2019/table24.htm"
url1 = "https://www.health.ny.gov/statistics/vital_statistics/2019/table13.htm"
induced_abortion_finance = 
  read_html(url) %>%
  html_table(header = FALSE) %>%
  first() %>%
  janitor::clean_names()
live_birth_finance = 
  read_html(url1) %>%
  html_table(header = FALSE) %>%
  first() %>%
  janitor::clean_names()

data cleaning

clean_lb_finance= live_birth_finance %>% 
  select(-c(4,6:8)) %>%
  purrr::set_names(c("borough", "total", "Medicaid", "Self_Pay", "Other_Insurance", "Not_Stated")) %>%
  slice(4, 6:11) %>% 
  mutate(
    borough = str_replace(borough, "Kings", "Brooklyn"),
    borough = ifelse(as.character(borough) == "New York", "Manhattan", as.character(borough)),
    borough = str_replace(borough, "Richmond", "Staten_Island"),
    total = str_replace(total, ",", ""),
    Medicaid = str_replace(Medicaid, ",", ""),
    Other_Insurance = str_replace(Other_Insurance, ",", ""),
    Self_Pay = str_replace(Self_Pay, ",", ""),
    Not_Stated = str_replace(Not_Stated, ",", "")
    ) %>%
  mutate_at(c("total", "Medicaid", "Self_Pay","Other_Insurance", "Not_Stated"), as.numeric)

clean_ia_finance=
induced_abortion_finance %>%
  select(c(1:3,5,6,8)) %>%
  purrr::set_names(c("borough", "total", "Medicaid", "Other_Insurance", "Self_Pay", "Not_Stated")) %>%
  slice(4, 6:11) %>%
  mutate(
    borough = str_replace(borough, "Kings", "Brooklyn"),
    borough = ifelse(as.character(borough) == "New York", "Manhattan", as.character(borough)),
    borough = str_replace(borough, "Richmond", "Staten_Island"),
    total = str_replace(total, ",", ""),
    Medicaid = str_replace(Medicaid, ",", ""),
    Other_Insurance = str_replace(Other_Insurance, ",", ""),
    Self_Pay = str_replace(Self_Pay, ",", ""),
    Not_Stated = str_replace(Not_Stated, ",", "")
    ) %>%
  mutate_at(c("total", "Medicaid","Other_Insurance", "Self_Pay", "Not_Stated"), as.numeric)

merged_data=
  full_join(clean_lb_finance,clean_ia_finance, by="borough") %>%
  janitor::clean_names() %>%
  mutate(
    medicaid = (medicaid_x / medicaid_y)*1000,
    self_pay = (self_pay_x / self_pay_y)*1000,
    other_insurance = (other_insurance_x / other_insurance_y)*1000,
    not_stated = (not_stated_x / not_stated_y)*1000,
    total = (total_x / total_y)*1000) %>% 
select(borough, medicaid, self_pay, other_insurance, not_stated, total)  

ggplot: induced abortion vs financial plans

abortion_finance_plot = 
  merged_data %>%
  select(-total) %>% 
  pivot_longer(
    medicaid:not_stated,
    names_to = "finance_plan", 
    values_to = "abortion"
  ) %>% 
  plot_ly(x = ~finance_plan, y = ~abortion, color = ~borough, type = "bar", colors = "viridis") %>% 
  layout(title = 'Abortions in NYC by Financial Plan', yaxis = list(title = 'Number of Induced Abortions per 1,000 Live Births'))
abortion_finance_plot